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{"title"=>"Is ground cover vegetation an effective biological control enhancement strategy against Olive Pests?", "type"=>"journal", "authors"=>[{"first_name"=>"Daniel", "last_name"=>"Paredes", "scopus_author_id"=>"55746534000"}, {"first_name"=>"Luis", "last_name"=>"Cayuela", "scopus_author_id"=>"13002599500"}, {"first_name"=>"Geoff M.", "last_name"=>"Gurr", "scopus_author_id"=>"7003269193"}, {"first_name"=>"Mercedes", "last_name"=>"Campos", "scopus_author_id"=>"57197804920"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"25646778", "doi"=>"10.1371/journal.pone.0117265", "sgr"=>"84922382748", "isbn"=>"1932-6203", "scopus"=>"2-s2.0-84922382748", "issn"=>"19326203", "pui"=>"602005623"}, "id"=>"5bac6385-939e-3702-8665-0984aca03cfc", "abstract"=>"Ground cover vegetation is often added or allowed to generate to promote conservation biological control, especially in perennial crops. Nevertheless, there is inconsistent evidence of its effectiveness, with studies reporting positive, nil or negative effects on pest control. This might arise from differences between studies at the local scale (e.g. orchard management and land use history), the landscape context (e.g. presence of patches of natural or semi-natural vegetation near the focal orchard), or regional factors, particularly climate in the year of the study. Here we present the findings from a long-term regional monitoring program conducted on four pest species (Bactrocera oleae, Prays oleae, Euphyllura olivina, Saissetia oleae) in 2,528 olive groves in Andalusia (Spain) from 2006 to 2012. Generalized linear mixed effect models were used to analyze the effect of ground cover on different response variables related to pest abundance, while accounting for variability at the local, landscape and regional scales. There were small and inconsistent effects of ground cover on the abundance of pests whilst local, landscape and regional variability explained a large proportion of the variability in pest response variables. This highlights the importance of local and landscape-related variables in biological control and the potential effects that might emerge from their interaction with practices, such as groundcover vegetation, implemented to promote natural enemy activity. The study points to perennial vegetation close to the focal crop as a promising alternative strategy for conservation biological control that should receive more attention.", "link"=>"http://www.mendeley.com/research/ground-cover-vegetation-effective-biological-control-enhancement-strategy-against-olive-pests", "reader_count"=>47, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Researcher"=>10, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>14, "Student > Postgraduate"=>3, "Student > Master"=>10, "Other"=>3, "Student > Bachelor"=>2, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Researcher"=>10, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>14, "Student > Postgraduate"=>3, "Student > Master"=>10, "Other"=>3, "Student > Bachelor"=>2, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Environmental Science"=>5, "Biochemistry, Genetics and Molecular Biology"=>1, "Agricultural and Biological Sciences"=>30, "Social Sciences"=>2, "Earth and Planetary Sciences"=>4, "Economics, Econometrics and Finance"=>2}, "reader_count_by_subdiscipline"=>{"Social Sciences"=>{"Social Sciences"=>2}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>4}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>30}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>3}, "Environmental Science"=>{"Environmental Science"=>5}}, "reader_count_by_country"=>{"Brazil"=>1, "Australia"=>1, "Spain"=>1}, "group_count"=>7}

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• http://doi.org/10.1007/s10526-019-09974-w
• http://doi.org/10.1093/jipm/pmv016
• http://doi.org/10.1111/1365-2664.13124
• http://doi.org/10.1002/ece3.1917
• http://doi.org/10.1146/annurev-ento-031616-035050
• http://doi.org/10.1007/s13593-018-0500-z
• http://doi.org/10.1371/journal.pone.0194551
• http://doi.org/10.3389/fpls.2015.01255
• http://doi.org/10.1371/journal.pone.0180702
• http://doi.org/10.1007/s10841-016-9901-y
• http://doi.org/10.1016/j.cropro.2018.07.014
• http://doi.org/10.1111/1744-7917.12425
• http://doi.org/10.1016/j.cropro.2019.105037
• http://doi.org/10.1093/aob/mcx145
• http://doi.org/10.3390/su11030798
• http://doi.org/10.1111/afe.12303
• http://doi.org/10.3389/fsufs.2019.00060
• http://doi.org/10.1007/s10340-019-01104-w
• http://doi.org/10.1016/j.biocontrol.2015.04.004
• http://doi.org/10.1016/j.scitotenv.2017.08.050
• http://doi.org/10.1111/1365-2664.12709
• http://doi.org/10.1016/j.jnc.2017.02.009
• http://doi.org/10.1016/j.biocontrol.2016.01.012
• http://doi.org/10.1007/s10340-019-01095-8
• http://doi.org/10.1007/s10531-015-1044-z
• http://doi.org/10.1111/wbm.12195
• http://doi.org/10.1007/s10457-018-0224-8

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• {"id"=>"603870608762494976", "text"=>"Paper EEZ Is Ground Cover Vegetation an Effective Biological Control Enhancement Strategy against Olive Pests? http://t.co/NXSeTzRhw2", "created_at"=>"2015-05-28T10:29:07Z", "user"=>"EEZCSIC", "user_name"=>"EEZ-CSIC", "user_profile_image"=>"http://pbs.twimg.com/profile_images/2701347024/a6f77a472a528990f4ab4005edbd1256_normal.jpeg"}

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Figshare

• {"files"=>["https://ndownloader.figshare.com/files/1879220"], "description"=>"<p>Positive values represent an increase in pest abundance in the presence of ground cover (filled circle) whereas negative values represent a decrease in pest abundance in the presence of ground cover (filled triangle). Bars represent a 95% of the confidence interval of the random effects predictions (± σ²) at a local, landscape, and regional scale. If a random factor is not included in the selected best model (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0117265#pone.0117265.t002\" target=\"_blank\">Table 2</a>), no 95% confidence interval bars were drawn.</p>", "links"=>[], "tags"=>["enemy activity", "Saissetia oleae", "study points", "Pest control", "response variables", "pests whilst", "Bactrocera oleae", "Ground Cover Vegetation", "Prays oleae", "Euphyllura olivina", "variability", "effect models", "Control Enhancement Strategy", "e.g", "groundcover vegetation", "Conservation", "pest species", "pest response variables", "2012. Generalized", "landscape context", "pest abundance", "Olive Pests", "monitoring program", "orchard management", "alternative strategy"], "article_id"=>1300373, "categories"=>["Uncategorised"], "users"=>["Daniel Paredes", "Luis Cayuela", "Geoff M. Gurr", "Mercedes Campos"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0117265.g002", "stats"=>{"downloads"=>5, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Best_model_estimations_for_the_differences_between_ground_cover_and_bare_soil_for_all_the_response_variables_/1300373", "title"=>"Best model estimations for the differences between ground cover and bare soil for all the response variables.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-02-03 02:53:35"}
• {"files"=>["https://ndownloader.figshare.com/files/1879221"], "description"=>"<p>Response variables used for each of the four species analysed in this study, family error used in the generalized linear mixed models, and number of observations (i.e. number of monitoring stations) available for each response variable for all the years.</p>", "links"=>[], "tags"=>["enemy activity", "Saissetia oleae", "study points", "Pest control", "response variables", "pests whilst", "Bactrocera oleae", "Ground Cover Vegetation", "Prays oleae", "Euphyllura olivina", "variability", "effect models", "Control Enhancement Strategy", "e.g", "groundcover vegetation", "Conservation", "pest species", "pest response variables", "2012. Generalized", "landscape context", "pest abundance", "Olive Pests", "monitoring program", "orchard management", "alternative strategy"], "article_id"=>1300374, "categories"=>["Uncategorised"], "users"=>["Daniel Paredes", "Luis Cayuela", "Geoff M. Gurr", "Mercedes Campos"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0117265.t001", "stats"=>{"downloads"=>6, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Response_variables_used_for_each_of_the_four_species_analysed_in_this_study_family_error_used_in_the_generalized_linear_mixed_models_and_number_of_observations_i_e_number_of_monitoring_stations_available_for_each_response_variable_for_all_the_years_/1300374", "title"=>"Response variables used for each of the four species analysed in this study, family error used in the generalized linear mixed models, and number of observations (i.e. number of monitoring stations) available for each response variable for all the years.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-02-03 02:53:35"}
• {"files"=>["https://ndownloader.figshare.com/files/1879219"], "description"=>"<p>Red points represent ground cover MS while blue points represent bare soil MS before pairing.</p>", "links"=>[], "tags"=>["enemy activity", "Saissetia oleae", "study points", "Pest control", "response variables", "pests whilst", "Bactrocera oleae", "Ground Cover Vegetation", "Prays oleae", "Euphyllura olivina", "variability", "effect models", "Control Enhancement Strategy", "e.g", "groundcover vegetation", "Conservation", "pest species", "pest response variables", "2012. Generalized", "landscape context", "pest abundance", "Olive Pests", "monitoring program", "orchard management", "alternative strategy"], "article_id"=>1300372, "categories"=>["Uncategorised"], "users"=>["Daniel Paredes", "Luis Cayuela", "Geoff M. Gurr", "Mercedes Campos"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0117265.g001", "stats"=>{"downloads"=>3, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Map_of_the_Andalusian_region_Spain_and_the_monitoring_stations_used_in_this_study_/1300372", "title"=>"Map of the Andalusian region, Spain, and the monitoring stations used in this study.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-02-03 02:53:35"}
• {"files"=>["https://ndownloader.figshare.com/files/1931999", "https://ndownloader.figshare.com/files/1932000"], "description"=>"<div><p>Ground cover vegetation is often added or allowed to generate to promote conservation biological control, especially in perennial crops. Nevertheless, there is inconsistent evidence of its effectiveness, with studies reporting positive, nil or negative effects on pest control. This might arise from differences between studies at the local scale (e.g. orchard management and land use history), the landscape context (e.g. presence of patches of natural or semi-natural vegetation near the focal orchard), or regional factors, particularly climate in the year of the study. Here we present the findings from a long-term regional monitoring program conducted on four pest species (<i>Bactrocera oleae</i>, <i>Prays oleae</i>, <i>Euphyllura olivina</i>, <i>Saissetia oleae</i>) in 2,528 olive groves in Andalusia (Spain) from 2006 to 2012. Generalized linear mixed effect models were used to analyze the effect of ground cover on different response variables related to pest abundance, while accounting for variability at the local, landscape and regional scales. There were small and inconsistent effects of ground cover on the abundance of pests whilst local, landscape and regional variability explained a large proportion of the variability in pest response variables. This highlights the importance of local and landscape-related variables in biological control and the potential effects that might emerge from their interaction with practices, such as groundcover vegetation, implemented to promote natural enemy activity. The study points to perennial vegetation close to the focal crop as a promising alternative strategy for conservation biological control that should receive more attention.</p></div>", "links"=>[], "tags"=>["enemy activity", "Saissetia oleae", "study points", "Pest control", "response variables", "pests whilst", "Bactrocera oleae", "Ground Cover Vegetation", "Prays oleae", "Euphyllura olivina", "variability", "effect models", "Control Enhancement Strategy", "e.g", "groundcover vegetation", "Conservation", "pest species", "pest response variables", "2012. Generalized", "landscape context", "pest abundance", "Olive Pests", "monitoring program", "orchard management", "alternative strategy"], "article_id"=>1323388, "categories"=>["Uncategorised"], "users"=>["Daniel Paredes", "Luis Cayuela", "Geoff M. Gurr", "Mercedes Campos"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0117265.s001", "https://dx.doi.org/10.1371/journal.pone.0117265.s002"], "stats"=>{"downloads"=>3, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Is_Ground_Cover_Vegetation_an_Effective_Biological_Control_Enhancement_Strategy_against_Olive_Pests_/1323388", "title"=>"Is Ground Cover Vegetation an Effective Biological Control Enhancement Strategy against Olive Pests?", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-02-03 19:15:09"}

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Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}

F1000Prime